Innography Blog

Category: patent analysis


Personal Tales of Innovation: Determining Value of a Patent, Part 3, Bringing it all together

This is my third in a series of 3 blogs.

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Categories: intellectual property management, licensing strategy, patent analysis, patent licensing, patent portfolio analysis, patent strategy


Personal Tales of Innovation: Determining the Value of a Patent, Part Two.

In my last blog post, I talked about my seven criteria for valuating a patent. Some of you might be thinking, “If there are only seven things to consider, why is it so hard to get a concrete estimate on a patent’s worth?” The reason it’s not that simple is that there’s a lot that has to go into those answers, and depending on whom you ask, you may get really different answers. It’s actually a lot like buying stocks. Is the person you’re seeking advice from a short-term investor? Or are they a “buy and hold” guy? To whom, how, and when you ask the question can all affect the answer.

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Categories: intellectual property management, ip strategies, licensing strategy, patent analysis, patent portfolio analysis, patents


Webinar Transcript: The Million Dollar Risk

This is a transcript of the webinar The Million Dollar Risk hosted by Gene Quinn, founder, and editor of IP Watchdog, which is available now on demand.

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Categories: application trends, big data, competitive intelligence, data correction, data correlation, intellectual property management, ip strategies, patent analysis, patent portfolio analysis, patent search, patent strategy


Personal Tales of Innovation: Determining the Value of a Patent.

I thought I’d take a break from the technology view of the world and pivot to the business side of things. One of the most frequently asked questions is, “What’s the value of this patent?” This is a very hard question to answer on a number of levels, but mainly because a patent’s value isn’t just based on what it covers technically, but commercially as well. Without both points of view, the valuation is incomplete. And of course, commercial context is not covered in a patent document.

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Categories: intellectual property management, ip strategies, licensing strategy, patent analysis, patent portfolio analysis


Patents Gone Wild: Celebrating Black History Month, Inventor-Style

American innovation is rich with contributions from many famous black inventors with roots dating back to the late 1800's. Here is a very small sample of great inventions that led to modern innovations...

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Categories: advanced patent search, Black History Month, citation analysis, patent analysis, patent filing trends, patent search, patents, text clustering


If At First You Don’t Sell, Simply Let it Lapse: Deriving New Value from Your IP Portfolio

Most portfolio managers get a list of patents with fees due that quarter. Their job is to look at the business, see which ones they’re using, and pay the fees. They’ll likely let the rest lapse in order to “save” cost on assets not currently supporting the business. But what these managers aren’t considering can be best described by the old saying, “One person’s trash is another person’s treasure.” Put more directly, you can create easy income for your organization simply by selling unused assets, rather than just allowing them to expire.

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Categories: intellectual property management, ip strategies, licensing strategy, patent analysis, patent portfolio analysis, patent strategy


Patents Gone Wild: Chinese New Year 2017 is a Fire Rooster

In Chinese astrology, every 12 years there is a Rooster year. Each zodiac year is not just associated with an animal sign, but also one of five elements: Gold (metal), Wood, Water, Fire, or Earth. This year, as in 1957, the element is fire making this the year of the Fire Rooster.

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Categories: advanced patent search, patent analysis, patent filing trends, patent search, patents


[Infographic] Know When to Hold ‘EM: The Games People Play With IP Data

Multi-million dollar decisions are never without risk, but basing them off questionable data is simply Russian Roulette. Getting to “good enough” or the “right” intellectual property data upon which to make decisions can be extremely time consuming, complex, short-lived. So either you’re wasting time correcting raw data from global patent offices or you’re making decisions on data that is rife with spelling errors, doesn’t reflect patent reassignments, and doesn’t account for M&A activities.

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Categories: big data, data correction, data correlation, industry outlooks, intellectual property management, patent analysis, patent search, patents